Generative AI Engineer

We are at the forefront of transforming industries through cutting-edge AI technology. Our team is focused on developing innovative solutions in the field of Generative AI, Machine Learning, and Natural Language Processing. Join us and be a part of our journey to revolutionize AI use cases across various industries.

Job Summary:

Gen AI Engineer

Responsibilities:

• Design, develop, and implement

  Generative AI

  use cases with a focus on

  Large Language Models (LLMs)

  .
• Apply

  Deep Learning

  techniques (CNN, LSTM, RNN) to develop models that solve real-world problems.
• Leverage

  Machine Learning

  algorithms for classification, forecasting, and other AI-driven tasks.
• Utilize

  Natural Language Processing (NLP)

  techniques, including transformers, to develop state-of-the-art language models.
• Collaborate with cross-functional teams to gather requirements and deliver AI solutions aligned with business goals.
• Implement end-to-end pipelines with

  Python

  and

  Pyspark

  , ensuring scalability and performance.
• Work on

  DevOps

  and deployment using

  Docker

  ,

  CI/CD

  practices to ensure seamless integration and deployment.
• Use

  visualization tools

  like

  Power BI

  and

  Matplotlib

  to communicate results effectively to stakeholders.
• Optimize models for production use, ensuring high performance and reliability.

Mandatory Skills:

• Strong experience with

  Python

  and

  Pyspark

  for AI and data engineering tasks.
• Expertise in

  Generative AI

  , including

  LLMs

  and

  RAG

  .
• Proficiency in

  Deep Learning

  models (CNN, LSTM, RNN).
• Solid understanding of

  Machine Learning

  techniques (Classification, Forecasting).
• Experience with

  NLP

  , specifically

  Transformers

  and related models.
• Knowledge of

  API Development

  and experience working with

  SQL

  .
• Hands-on experience with

  DevOps

  ,

  Docker

  , and

  CI/CD

  .
• Data visualization skills using

  Power BI

  or

  Matplotlib

  .

Preferred Skills:

• Familiarity with cloud platforms (AWS, GCP, Azure) for AI deployments.
• Experience working with distributed systems and frameworks.
• Experience with

  Reinforcement Learning

  or other advanced AI techniques.

Qualification:

• Bachelors/Masters degree in Computer Science, Engineering, or a related field.